1106 search results - page 125 / 222 » On regularization algorithms in learning theory |
136
click to vote
AIIA
2005
Springer
15 years 10 months ago
2005
Springer
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
140
click to vote
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
122
click to vote
ICC
2007
IEEE
15 years 11 months ago
2007
IEEE
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
140
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
162
click to vote
ECML
2005
Springer
15 years 10 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...